{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1a0e74c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ae754840",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '销量（件）')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 26631 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 39064 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 20215 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 26684 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 65288 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 20803 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 65289 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 38144 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 37327 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 20214 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 20215 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 26684 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 65288 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 20803 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 65289 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 38144 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 37327 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 20214 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 26631 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\envs\\py8\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 39064 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 直方图\n",
    "height=[168,155,182,170,173,161,155,173,176,181,166,172,170]\n",
    "bins=range(150,191,5) # 横坐标从150开始到191 步长为5\n",
    "plt.hist(height,bins=bins)\n",
    "plt.title('标题')\n",
    "plt.xlabel('价格（元）')\n",
    "plt.ylabel('销量（件）')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "40674a9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#条形图\n",
    "%matplotlib inline\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] # 中文支持\n",
    "classes =['class1','class2','class3']\n",
    "name =['A','B','C']\n",
    "scores=[70,80,60]\n",
    "plt.bar(classes,scores)\n",
    "plt.title('标题')\n",
    "plt.xlabel('价格（元）')\n",
    "plt.ylabel('销量（件）')\n",
    "plt.xticks(classes,name)\n",
    "#plt.text(1,81,60)\n",
    "for i in range(0,3): \n",
    "    plt.text(i,scores[i],scores[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1a976d86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x14c6c3946d0>]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#折线图\n",
    "year =range(2005,2020) #左闭右开\n",
    "height=[168,155,182,170,173,161,155,173,176,181,166,172,170,180,176] #year的长度必须和height数量一致\n",
    "plt.plot(year,height)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d2cec2c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x14c6c3f32e0>,\n",
       "  <matplotlib.patches.Wedge at 0x14c6c3f39d0>,\n",
       "  <matplotlib.patches.Wedge at 0x14c6c402040>,\n",
       "  <matplotlib.patches.Wedge at 0x14c6c402730>],\n",
       " [Text(-0.24477311341532162, 1.0724206837565984, '房贷'),\n",
       "  Text(-0.47727194733239225, -0.991065834488076, '饮食'),\n",
       "  Text(0.477272295295913, -0.9910656669176725, '出行'),\n",
       "  Text(0.9910658568307873, -0.47727190093725136, '教育')],\n",
       " [Text(-0.13351260731744813, 0.5849567365945082, '57.14'),\n",
       "  Text(-0.26033015309039576, -0.5405813642662232, '21.43'),\n",
       "  Text(0.2603303428886798, -0.5405812728641849, '7.14'),\n",
       "  Text(0.5405813764531566, -0.26033012778395526, '14.29')])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAADnCAYAAADl9EEgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAh1klEQVR4nO3deXhU1f3H8feZO8kkBAhhMyyBAQQaV1QQRCS4YKvRqrWtewOCVu1iVfQ3Lq2xSIlabdUuVhH3pdaVMrV1QTYRURGNmqgBhk2EJMBAMpksM+f3x51ggIRkkpk5986c1/PMYzKZmfuN3E/Oveeee46QUqJpmvU4VBegaVrrdDg1zaJ0ODXNonQ4Nc2idDg1zaJ0ODXNonQ4Nc2idDg1zaJ0ODXNonQ4Nc2idDg1zaJ0ODXNonQ4Nc2idDg1zaJ0ODXNonQ4Nc2inKoLsDMhhBPIklL6W/lZHrAFyAFcQBjYI6WsTWyVml3plrNrzgdu3/9JIURPYAEwGjgCuAE4GrhTCNEjoRVqtqVbzigJIWZghu2bFs+9hfmHbjfwc+BZ4C3M1nIQ8GOgF5AG/B64LqFFa7Yk9BxC0RFCFAFpUsp5+z2fATwDPAbkAiOBzUAFcCzm4e8tQoixQIWUcldCC9dsR7ec0QsDNwohLo18nwt8G/n6XSnlQiHEOCBPSvlg5PnXhRCzhRBeYCBwWmJL1uxIhzN6TuBNzMNWgAeAeUAN4BRCHIoZ1hMjh7stZQOXSSmrE1WsZl86nNHLATYCVcBDwCVA87mBAdQB6UCNlPJcIcRUYJ2Ucm0krAEFNWs2pHtro3ccsBBYCXQDZgN3An8BzpFSbsHs+GlWDBhCCAMIof8gah2kd5QoCCHSge8BZcAvgCeklHdEfnYZ0D3y0nVAiRDiUWB15PlVwHxgU6Lr1uxJ99ZGQQhxHnAY0IB5/XIm0AS8jHlN8yzMSycPAGuBJ6WUCyLvzQKuBE4FfiilDCf8F9BsRYczSkIIB9BfSvlti+ey9MgfLdZ0OC3O7fH2BgYDeS0ezd9nA6Kdj5BANebhdMvHZmCTr6RwT3wq17pKh9Mi3B7vUGBc5DEGGIoZwqw4b9qPGVYf5vnxKuADX0nh9jhvV2uHDqcCbo/XAI4BCiKP8UB/pUUdaANmj/QSYImvpPALxfWkHB3OBHF7vP2BnwJnAJOAnmoritp2zKAuBF7Rh8Pxp8MZR26PtyfwI+Bi4BTMQQrJIIgZ0ucAr6+ksF5xPUlJhzPG3B5vBlCIGcgzgQy1FcWdH/NS0nPAIl9JYUhxPUlDhzNG3B7vFGAacB72O2SNlW3AC8A8X0nhp6qLsTsdzi5ye7xnA7didupo3/ECd/pKCleqLsSudDg7we3xOjBvoL4Fc4YDrW2LgDm+ksJFqguxGx3OKLg9XidwKeDBHK6nddx7mCH1qi7ELnQ4O8Dt8bqAy4GbALfaamxvDfAH4EVfSaHe+Q5Ch7Mdbo/3ZMz7NkepriXJrACu9JUUfq66EKvS4WyD2+PtA9wLFKmuJYk1AvcAs30lhUHVxViNDmcr3B7vzzCD2Vd1LSmiArjKV1L4tupCrESHswW3x3so5iHsqaprSVFPA9f7SgorVRdiBTqcgNvjTcPs7LmN5B/RY3XVwI2+ksLHVBeiWsqH0+3xjgD+hXmXiGYd/wEu85UU7lBdiCopPcGX2+M9F/gIHUwrOhP42O3xjlNdiCop2XJGBhPMBWaprkVrVwPmeehfVReSaCkXzsi0Hy8CJ6uuRYvKE8DPU+n2tJQKp9vjPQxz9a8RqmvROmUF8CNfSeE21YUkQsqcc7o93jMxx3fqYNrXRGCV2+Mdo7qQREiJcLo93unAv0nd+yyTyRBgeWRYZVJL+nC6Pd7LgUdJgd81hWQBCyM3uCetpN5hI8GcR/tzu2r20w3wJnNAkzacOpgpIakDmpTh1MFMKUkb0KQLpw5mSkrKgCZVOHUwU1rSBTRpBiG4Pd6zgNdIsj84WtRqgQm+ksLPVBfSVUkRTrfHOwpzAZ5s1bVolrAWGOcrKdypupCusH0r4/Z4ewCvooOpfWcE8GxkClPbsnXxbo9XYA6Izlddi2Y5PwDuVF1EV9j6sNbt8d4GzFZdRzRkOMSWh2bi7HUIAN1Gn0jgy3cBCNfX4howmj4/+GWr7w3V7qTy1bnkXnL3Ac9ve+F2Bk5/IL7F29OPfSWFL6kuojOcqgvorMhA9jtU1xGthu3ryTpsMjlTpu99rudxZwOw482HyDqi9emLQsEaqrx/QjYeeMfUznfmI5sa4lOw/T3u9njL7Li+qC0PayMTcT2DDetv+OZL6io+YOuT11H1n/uRYXNRrqY9VYRqd+EaMLLV9wnhoN85/4dIz9zn+boNnyDSXBhZveJdul11B151e7y265Ow3c7t9ni7YXYA9VJbSeekDxhJ/wvvZMDP/gThJurWfgjAntVeehxzZpvvc7i64XDtuwK9DDXiX/E8OQXT4llyMhiJ+cfcVmwXTqAYOFx1EZ2V3m8Yzu69za9zR9K0cwtShglu/BTXkCOj+iz/yhfpcUwhjozu8Sg12RS6Pd5pqouIhq3C6fZ4jwauU11HV1QtvJeG7euQ4RCBr1eS1n849Zs+xzVgNEJEN7Ap6FvDntUL+fZZDw3b11P9uu4Qascf3R6vbSYKt02HUOSa1SPYqObWZJ94IVX//iNISebI8WS6x7BzyRNk5B2x9zUNVRup/WIJOZMvO+hn5V5y196vv33WQ58zfh23upNEH+A+4GeqC+kI21xKcXu8vwJ006DFwlRfSeFbqotojy3C6fZ4BwFlQA/VtWhJoQI40uqLJ9nlnPNBdDC12DkUc+kNS7N8y+n2eM/BvHSiabHUCBxj5fVBLR1Ot8fbHfNwdrDqWrSktAKYZNUVtq1+WDsLHUwtfiYCP1FdRFss23K6Pd4cYD36VjAtvr7A7BwKqy5kf1ZuOa9HB1OLv8OAC1QX0RpLtpyRxYZ86B5aLTHKgcOt1npateW8Dh1MLXG+hwVbT8uF0+3xZgHXqK5DSzk3qS5gf5YLJzAT6K26CC3ljHF7vFNVF9GSpcIZWXHa1nedaLZ2o+oCWrJUODGvOQ1VXYSWsqZaae1Pq4VzhuoCtJR3ueoCmlnmUorb480FtmC9PxhaatkGDPKVFIZUF2KlIFyAterRUtMhwCmqiwBrheEi1QVoWoQl9kVLHNa6Pd7hmOtbaJoV+IFDfCWFB04SnEBWaTkt8ZdK0yKygbbnKU0Qq4TzYtUFaNp+lO+Tyg9r3R7vUcAnSovQtAMFgf6+ksI9qgqwQsupD2k1K8oAzlNZgBXCqfzYXtPaoHTfVBpOt8fbEzii3RdqmhoTVW5cdcs5wQI1aFpb8twer7I5rFQH40TF29e09ijbR1WHU+lhg6Z1gLJ9VFk43R6vAYxXtX1N66CUbDmPRM8TpFnf0ZGpcxJOZTj1+aZmB07geBUbVhlOfb6p2YWSfVVlOJX8NdK0TlDSN6IknJFVqvVcQZpduFVsVFXLeQiQpmjbmhatPBUbVRVOJb+spnVSr8hylAmlw6lpHZPwfVaHU9M6RodT0yxKh1PTLCplwqmXktfsJuH7rG45Na1jUqbl7Kdou5rWWQnfZ1WFUw9A0Owm4ftswsMZGbqn+iZvTYtW8ocT3Wpq9pQS4XQq2KamdVXC91sVQREKtpn0TnZ8/MmctHn1X/23e30/f+hw1fUkGykcuykpTOg2VYSzUcE2k9bZjhUfzU57zNlL1B4NcPUlmSvufIhaZ1hfroopGd6V6E2qCGeTgm0mGSkvMhatutX5TI/uInhcy58MTmts/N2lGYE5T4YCArqpqjAJJXy/Tfg5Z2Q5b/WLgtqQg3DoCsO7otw1rWJu2qPju4vgYfu/ZmptILNikBj99MmONQpKTGYJP+JT1TnTCKQr2rbtOGlq/JXzlZVXGwuGpIvQQeezKQjUHYqU8t8THBPHrJNLjtwgCxJVZ5JLeDhVXW/cqWi7tuKiIfhb51NLyl3Ttl/rfOWkdBFqd2qXnHC4dxr4AOZc6Ji0O5OP415oakj4PqsqnJsUbdcWsqirucv58JIvXNP3zHC+XuAU4UHRvP/QhsbNAGGHMK6/whgSEmyJT6UpJeH7rA6nhWRTs+svafcvLnXNaLzAubjAELJT4zkLAnV7L1ftzhJ9ii8xdkuoi12lKUmHMxX1ZVflY2l3LVnjutI4y3h/ikOQ05XPO602MLDl91/mifxnpzhWd63KlJfwfVZVh5AOJzBYVH5zb9rfvz5elB8vBDHruBnV2DhMSLlDCtG7+bnXTnCcOGZdeOnhG5kcq+2kGN1ypoLh4psNC9JvXbYs/dq+4x3lBUKQGcvPFyD6h0IV+z8/+yJj4p5M1sRyWykkZcK5WdF2lTpcrK94M/3GFW+nzxp8lGP9SULE73LS+LrgAeeYYYdwXj/TGBQSfBOv7SaxhO+zuuVMgHGivGxp+rUrF6bfOmKkY8tEITDivc2ptXW9Wnve3130+/3Fxi4JwXjXkERq88vLEn4pRdU55zdAmCS/r3OKY82nd6U93HiI2HVc+6+OrQnB4CikbESIA251KhsiDnvhJMfyC5aFJyW6LptS0pgoCYevpLAJkvfa21mO9z762HXlJ4+n332UimACZEiZmSXl1239/KVJjknlg1mayJpsbKOKjapsuT5SuO04kPJCY9H7n7ku/+Iv6Q8elyNqjlZd0eH1DZUH+/kdFxsn7Mngk0TVY2MfqtioynC+q3DbMSMIh2ca3hVlrukVJWnzWh2MrsopgYDrYD8PGSLthiuMgSHB1kTVZFNK9lWV4VyhcNtd5qSp8TfOF5d96Zq28ba0ZyZmioaRqmva36m1de72XrOru+g350LHDgn1CSjJjiTwnooNqz6std0O4aIheJvz6aXlrmnbf+N8+aR00eRWXVNbckOhXEPKds/tP3M7Dn/pRLEqETXZUJmKnlpQGE5fSWE9NjrvzKKupsT58OIvXNN3z3T+Z3K0g9FVGdLYtKEjr3thsnHS1wNZFu96bEjZEZ7qSxmWP+80B6M/sKTUNaPxQufiKYaQ/VXXFI2T6uo6fAf/7Zca42tdlMZy+1VNTVy6ccMBz/3It77N9+wJhbhy8yZmbtrIr7ZspkFKNjc0cNXmTVy6cQN3bd8WyxLbo2wfVR1Oy5539mVX5fy0uxebg9FXFnR1MLoqU2sDh3T0tU2GSL9hptE/LIjJ3u8Phbhl61bqwuF9nr+ncjv1su3JMBbu3s20nN7MyxtCX8PJ8toa7q2q5Oo+fXl6yFC2NTWxKlAbixI7ImVbTsuFcxCVW59Pn73kA9c13U8x1kwRgh6qa+qKI+sbDkXKmo6+fkdPccicCxzbJTR0ddsGcO/AgXR3fLebraytJVM46Gu0PUjqopwcJmZlAbAzFKKP4cTX0EB+RgYAvQ2DPaFwm++Pocr88rKvErGh1igNp6+kcDtwwABtFZoHoy93XdtngqMs5oPRVTHA6B0OtzkYoTWlwxxHvjZBvN/VbXc3DHq0CGGDlDxUXc31/Tp2m+qaujr84RBHZ2by/R49+FtVFe/U7GF5bS0TIuGNMyW9tM1Ut5wAb6jc+GHCt/aN9BvfTcRgdFWODdbvjvY9z55snFQxILYdRPOqq7kwpxc9D9JqNtsVCjFn2zbuzB0AwFV9+nJSVhYv+v2cm51NliMhu67SfdMK4XxOxUbHii/LlqZf+743/ZbhoxxbTkzEYHRVptYGOtXM/O4yY3yti89iVcd7gVqe27mToo0bKK+v57fftj72oUFKrvtmC9f168egtO+GBn8vI4OtjY0U5fRu9X0xFgL+lYgNtcUK4XyXBI5dnOJY8+n7rms+fNF1R/4QR+V4IZJ/BvpJdXUjkTLqk7QmQ6TPmmn0DQu2x6KOp4YM5YnI43suF7NzB1BRX8/9lfuOMnx51y7KgkH+UV1F0cYNvL7bbPjn76hmWk5vMhPTar6dX14Wk9+7s4Q8SK9Zorg93ruAm+K5jULHyo/uTJvvtMKYVxXGDh38db3D0alRTGPWhj+9+YVwvkitRaim5ZeXPaGyACu0nBC3Q1spLzAWrSp1zfj8r+kPWGIwuiqjGhq/7ex714xwHLXweKG0cyTBgsArqouwRDh9JYVrgLJYfZ4gHJ5h/GdFmWt6xV1p847vIepSfmGfkwN1Xfq3fupUY/L6Q1geq3oszptfXhZ1J1qsWSKcEV1uPZ00NV5rvLT8S9e0Db9Ne9qSg9FVOS0Q6PLCRrf+zBhXl84XsajH4pR0Uu7PSuF8trNvbDkY/bq0lyali6ZhsSwsGQxrbBoipDzo/Z3taXIK1w0zjZywoEufY3G7Aa/qIsBC4fSVFK4FPojmPVnU1cx1PrLEboPRVRnYFFrb1c+oyhYD7j7f8Y1M3tXiXskvL7PE/EqWCWfE4x15UU9q/A+kPbik1DWj8SLnOwV2G4yuyoS6YExu0Vs90nH062OF5YZexojSHtqWrBjO6rZ+2Ad/1aNp9yz+xHWl+KHxnm0Ho6tyem0gZlfvH59qTN7QL+k6iFbnl5e9o7qIZpYKp6+kMAD8bf/nB1K19bm02Us+dF3d7VTj4ylC0FNBebY3NhgcjZQxu8H9lmnG2GBa7HrZLeAe1QW0ZKlwRjxIZNGdYeKbja+l37bsXdev+5xglBUIoVdq7op0SO8Rll/G6vManSJj1kyjZxiqYvWZCq1H8XC9/VkunL6SwspjxNf3v5F+44pF6bMGHe1Yl5SD0VU5qr4+plNubO8lBv3xfMfmJOggui+/vCwUyw8UQjiEEJ2eG9py4QR4xXX7Q6McW8Yl82B0VU4LBGJ+K9yHoxxj3jhWWH5Wi4PYCszryAuFEDOEEBcLIXKEEP2FEPcJIYZFfiaEEC332V8DV7R4r0MI0eGx3JYMJ8X+DXSw51aLzpRAXVyuAT/6faNgU1/rTzvThpKOXD4RQswFpgNXAy8Ax0YePiGEA8gDvEKIhUKIjcBpQKEQ4nUhxELM66djOlqUNcNpmgM0qi4i2fQNhfulSdmhSb+idfM049hgGjE7p02QLcA/2nuREKI/ZoPxCrAYs19kNzAk8v1m4Awp5Q+A/2DeqH0V8CvgW+Bz4Bwp5ccdLcy64TRbz7+rLiMZDWtojMvaHw1pIvPGy42sMOyIx+fHydz88rKO9GDnAQXAUcAEzFbwbuD3mCF8UkrZHPL+mGE8F5gEvIw5dnxCNIWpWsioo24HLgI6tfy61rrJdXXyK1d8+ti29RaD/3yuY/V1r4azBZbvM/gKeKSDry0HioDJmNfizwfeAY4DamCfm9IPxWxRW87DdAwQ1Qg267acAMX+XcDNqstItB11kjfXNlEViM8kVlNrAwPi8sERK/Mdx759tLDDAIWf55eXdXQis9OBRcB4zEtHM4E/AL2Bs2GfRaGCwJvAwhaPKqLs0bZ2OE3ziXLMbaL5g5Iznqnl9KdqOe+fARpCkm01YU56rGPTN26rCXPMP8wJ8nbWSc56NsCqLSFOfiJAZW3sA5rf0DgCKf3N31cvqmbd3HWsm7uOit9WsOXx1ieJb/I3se4P61p9vuJ3+87T9vCZRsGW3tabXbGFx/LLyxZH8frNmK3m3wE34AGGYgb2UCnl/rN5TAXOavHoG22B1g9nsV8Cv8Rcs8KSnilt5PoJLt64LIvcLMFzpY0UvVpHbUPHSp71Zj11ka6vT7eFuO/7Lm6d7OL7I5ys3hr7cAoQ/UKhvTPy9TmlD8NvHs7wm4fTbVQ3ehccOMovVBti8yObCdcfWM/W57cSbjjw+f+73BhT70TZ1JIHUQnMivI9GzE7jq4H3pFSXoN5HnoBsFYIcYcQouUgmZ9KKU9rftCJ+5WtH06AYv8qLHxp5Zpx6UwdYZ6+VwYkw3Ic/PPH3ejpav+S1qL1TWSlQW5387UFbicTBjtZuqGJVVtCnJAXn9O2ccH6A+aybdzZSNPuJjKHtXIp1AF51+ThyNh3l6n5ogaHy4Ez+8Dui4Y00e2my40MCUrWGjmIG/LLy6LqtJJSbgN8wDPA60KIG4EfAD/CPBfdiXnpBGCf1d2EEHcCeVLKpDusbebB4sPE3tvUxM6gZPJQJ9kZ7QezISSZvbSektMy9nleSsk/P2skJ1OQFqd/oam1gV77P1f9djW9T2l9bLyRaWB02/cPRbgpTOWCSnJ/ktvmdrb2EUPuP8exTpormVvBW/nlZU915o1Synop5SQp5QIp5T1SyhuklDXS9Gcp5YLI6y6TUracFmYO5qFwVOwTzmL/dlqMtrCaHXWSX70eZP4POz4Ap2R5A9eMTafXfkEWQvDXwkyO6u9gwZfxGRU3sS44khZ/yWVYUltWS9b3Oj6LZpW3it6n9MbIOnjrvuIwx3FLjhRWWCQpiDmAIKGklHWyEzPp2SecAMX+V+l413fCNIQkP/lXgLmnZjC0V8f/l761rom/ftDAlMdrWfNtiJkL6rhreT1PfmJ2IO4KygOCGyvdpMzKlHJvL07gqwDdhncjitFl1HxeQ/XbZmdScGOQLfPbXm3wb2cZBVtz1M6gDszOLy+zxAoDHWGvcJp+A9YahfLo6kZWbw0xZ1k9Ux6v5Z+fHTiw6YvKELct2neE2NLpWSyeZj7G5BrM+2EmVx6XzlOfNjL5sVpCEk4fEb9LhfkNDXvnZd3z2R66jTb7M4Jbgmx7qf21jIbfMnxvR1LGkAwGXX7wy3g3XW4cVe8kqqUhYmg1FrslrD2WmLc2asXZx2EOj0qleVRj7smePVbc0ydnYiK3OahKbrjvkVAvAdkJ3GwVMDa/vCwuwxbjxY4tJxT7PwJ+p7oMuzslEHAneptb+oqhfznb8XUCO4hCwAV2CybYNZymu1G80IzdDW4KDXRI2fqCJXG07AjH2GWHJ6yD6Kb88rJFCdpWTNk3nMX+MPBTYjgZdSrKa2ryqdjuX852TN7Wi5Vx3syz+eVl98V5G3Fj33ACFPv9mEOjLH3908pODAS7vEhupwghbpxhHNFg0OXpOtuwBgtfeusIe4cToNi/DjiPGKzEnIqm1gaUTSsaTBfdPdMNhwR/+6+OSjVwXn55WSDGn5tQ9g8nQLF/OeZdAlqUxtTXj0RKZTvx5n5i2N8LHV/K2I2dDgEX5peX+WL0ecokRzgBiv1PYQ6T0qLgBGevcFjp4PTFRzmOX5EvlsTgo8LAFfnlZW/F4LOUS55wmn5LK/Peagc3Jlgf68PKqN1/jqOgsifvd+EjwsDM/PKyx2JVk2rJFc7vbi/TAY3C1EBA/XzAQohZM4z8RoMDbxhtX9IFE5ItnKAD2gkFgeBILDBUrC5D9Lx5miGkOXFWRyVlMCEZwwk6oFHKDod7pctOtVgxt7G/GPaPMxxlHewgStpgQrKGE3RAozSyseEb1TU0WzTGMX7VaLG0nZcldTAhmcMJLQOqe3HbURCoi8+9aZ1073mOydU92pw7KumDCXa9K6UzirMvw5xyX6+70oqKtLT15w0eYKkVwbsFpf+R+0M708L7zCJQA1ySX162QFFZCZPcLWdL5nXQU9FD/Vp1aGPjMCFlm2ujqhDIENm3FhkhCXsiT20AJqZCMCGVwgnNI4nGowfLtyo31PVl6WPNlytGPPJ9x+cSlgHj8svLSlXXlCipFU5oHot7AvA/1aVYzfi6YJ3qGlrz1rGOj26eZpySX15WqbqWREq9cELz3SxnYs7opxdLiphaG8hRXcN+aoCLSotKf/ma5zO7r/8ZtdTpEGqLOeXJM8Bo1aWoVi8Ijh2a50AIK3SafQGcX1pUWq66EFVSs+VsyZzy5FjgYdWlqOaSZHSXUtUEXM2aMGe5GJfKwQTdcu6rOPsczMstUa9rkSyuyO2/ZGVmRoGiza8CriwtKv1E0fYtRbecLRX7XwMOBx7DwmuzxNOptQFX+6+Kud2Yi8yeoIP5Hd1ytqU4ezzwIDBOdSmJtN0wtp86ZFAiZ0d4Gfh1aVFp2zNSpygdzoMpzhbA5cBcUmgB32PceZuahMiL82Y2Ab8sLSpNiQEFnaEPaw+m2C8p9j8KjAIeIEUuuwxtjM+y9BF+4A7gMB3Mg9MtZzSKs4cCtwLTSOLZ5u/N6bX08V49J8f4Y3cD9wP3lRaV7orxZyclHc7OMEP6f8B0IKOdV9vOp670ry4ZmDsqRh+3A/gr8KfSolKrrdNpaTqcXVGc3R/4NXANYLXRNZ0WhvDR7rwahOjZhY/xAfcB80uLSmtjU1lq0eGMheLsbsD5mJ1HBYCl7o3sjCl5g1ZXO41jo3xbCFgEzAf+VVpUGop9ZalDhzPWirOHY56TFgFD1BbTebP69Vn8v+5ZUzr48veA54AXSotK2187UOsQHc79CCG6SylruvxBxdkO4BTgMsxB9rYadfS/rG6rZ/Xve7CW8zPMQD5XWlS6Pp61CCFuB/6AOTBESilDkeddUsr6eG5bpaQPpxDiCqBaSvly5PvLgDop5YutvDYTeB+YJ6V8IGZFmEEdB5yBGdSxWPzQt0aIPScMHZyFEM2X2yTwObAQeLa0qLTL91UKIYZg/ltURv6dwlLKR4UQ/TH3zW1CiJ8CY6WUNwkhpgMXYx4+C2CnlPLCrtZhVakQzgXANCnljsj3LwFzpJSr93udA3gCWAkcDyyTUs6LS1HF2f2AHwCnYwZ1FNa75hyeNGTQf/2GUQEsAZaUFpXGdKYEIcQNwNdSygVCiGkAUsrHhRBFgAG8DbwCnCSlTLlOpaQOZ+Qv81LMnsPRmJN9zQWaZ5o7HLgUWA48BHiBbsAHwFWYo4Jul1LGd+aE4uwewBjguBaP0SQusHuACuBr4CPMAegfUuzv+uH9QQghfgNUSCkX7hfOSwEnsBmoB64E/i6lXBHPeqwm2cN5D/AW5hQXb2Cet5yJed3ta+Bj4BdAMWYom4Bg5O25mC2GG7hXSpnYBViLszMxO5TyWjwGt/i6J+DCvM7qijxaCmOGbnfk4Y/8dwewju/CWEGxf3ucf5tWCSFuwjwnr8b8/w3wLXAI8Ccp5cNCiCnAHzHnf3ob8wZsA3PZ+t3AcimlJ7GVJ0ayhzMTuARzR/4zZhCXYgZ1KOZf51Dk8TfMnaT5QvkY4L9SyscTWXOXFGc3h1QCNZGpQS1LCHGhlPL5yNfTYG/L6cT8I/pe5PFiywAKIQYDf5ZS/jjxVSeOU3UB8SSlrBNCNAEBKWUYeDAS2Bygn5Ry7xhSIQTAiRzYctpHsb8e8zDQLq4Gnm/leQFcCwzAPN2wVU93rFitEyJuhBATIl+ejjkFxlWtvOxS4C7gaeBk4FwhRH5iKkxJbbXszZdM/gEsTlw51pLULWdE86HtRCHEWuA3mKN4nhdCnCulfDXyun7A2ZjnakFgReQR12t4KS5PCLE48nUu7D28FXx3B1Brl5yMuFdmAakQThfwLuYkXv8GfiGl9AshLgYWCCF6SimfBLYCWcDzUkqfEOIZ4EbMjgivotqTmpRyRGvPR84534x8u09nlxBiIOa11vlxL1CxpO4QAhBCCCmlFOaMcgOklBta/MwFhKSUKTftomZ9SR9OTbOrlOkQ0jS70eHUNIvS4dQ0i9Lh1DSL0uHUNIvS4dQ0i9Lh1DSL0uHUNIvS4dQ0i9Lh1DSL0uHUNIvS4dQ0i9Lh1DSL0uHUNIvS4dQ0i9Lh1DSL0uHUNIvS4dQ0i9Lh1DSL0uHUNIvS4dQ0i9Lh1DSL+n8ol+kRU2j3pQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#饼图\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] # 中文支持\n",
    "labels=['房贷','饮食','出行','教育']\n",
    "data = [4000,1500,500,1000]\n",
    "# plt.pie(data,labels=labels)\n",
    "plt.pie(data,labels=labels,autopct='%1.2f') #显示百分百"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0b8f60fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[18.9, 21.3, 19.5, 20.5, 19.9, 22.3, 21.4, 9, 10.4, 9.3, 11.6, 11.8, 10.3, 8.7, 14.3, 14.1, 14, 16.5, 15.1, 16.4, 15.7] [10.4, 8.7, 11.6, 9.7, 9.4, 11, 10.6, 9.4, 9, 11.3, 8.5, 10.4, 10, 9.5, 17.2, 15.5, 16.5, 17.7, 17.3, 15, 18]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(20, 10, '洗衣液')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#散点图\n",
    "data = [[18.9,10.4],[21.3,8.7],[19.5,11.6],[20.5,9.7],[19.9,9.4],[22.3,11],[21.4,10.6],[9,9.4],[10.4,9],[9.3,11.3],[11.6,8.5],[11.8,10.4],[10.3,10],[8.7,9.5],[14.3,17.2],[14.1,15.5],[14,16.5],[16.5,17.7],[15.1,17.3],[16.4,15],[15.7,18]]\n",
    "X =[item[0] for item in data]\n",
    "Y =[item[1] for item in data]\n",
    "print(X,Y)\n",
    "plt.scatter(X,Y)\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] # 中文支持\n",
    "plt.title('超市商品价格与销量图')\n",
    "plt.xlabel('价格（元）')\n",
    "plt.ylabel('销量（件）')\n",
    "\n",
    "plt.text(16,16,'牙膏') #坐标\n",
    "plt.text(10,12,'纸巾')\n",
    "plt.text(20,10,'洗衣液')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "12d61561",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x14c6c4b95b0>,\n",
       "  <matplotlib.lines.Line2D at 0x14c6c4b9910>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x14c6c4b9c70>,\n",
       "  <matplotlib.lines.Line2D at 0x14c6c4b9fd0>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x14c6c4b9250>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x14c6c4c6370>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x14c6c4c66d0>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    " #箱体图\n",
    "data=[77,70,72,89,89,70,90,87,94,63,81,99,94,80,95,67,65,88,60,67,85,88,87,75,62,65,95,62,61,93,30]\n",
    "plt.boxplot(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ac8efa08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x14c6c504fa0>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 极线图\n",
    "r = [1,2,3,4,5] #极径\n",
    "theta=[0.0,1.5707963267948966,3.141592653589793,4.71238898038469,6.283185307179586] #角度\n",
    "ax =plt.subplot(111,projection ='polar') \n",
    "ax.plot(theta,r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cd915f6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x14c6c56b190>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 阶梯图\n",
    "year=range(2005,2020)\n",
    "height=[157,160,162,163,167,170,176,175,174,179,182,182,182,182.182,183]\n",
    "plt.step(height,year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d6ce80f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 5 artists>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 堆积图\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "ch=[72,80,66,77,92]\n",
    "math=[62,92,72,75,88]\n",
    "eng=[76,81,73,75,80]\n",
    "#plt.bar(绘制的轴，数据，数据起始绘制位置是bottom=，颜色color=，数据标签label=)\n",
    "plt.bar(range(1,6),ch,color='r',label='chinese')\n",
    "plt.bar(range(1,6),math,bottom=ch,color='g',label='math')\n",
    "chmath =[ch[i]+math[i]  for i in range(5)]\n",
    "plt.bar(range(1,6),eng,bottom=chmath,color='y',label='eng')\n",
    "#plt.ylim(0,300) #y的范围是0-300\n",
    "#plt.legend(loc='upper right') #在右上添加标签\n",
    "#plt.grid(axis='y', color='gray', linestyle=':', linewidth=2) #添加背景的虚线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d32d0e6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x14c6c9c61f0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 分块图\n",
    "name_list = ['语文','数学','英语']\n",
    "c1 = [81.4,83,87.1] #班级1\n",
    "c2 = [85.6,87.4,90]\n",
    "c3 = [78,81.2,86.1]\n",
    "width =0.4\n",
    "x=[1,3,5]\n",
    "plt.bar(x,c1,label='c1',fc='r',width=width)\n",
    "x=[1.4,3.4,5.4]\n",
    "plt.bar(x,c2,label='c2',fc='g',width=width)\n",
    "x=[1.8,3.8,5.8]\n",
    "plt.bar(x,c3,label='c3',fc='b',width=width)\n",
    "plt.xticks([1.4,3.4,5.4],name_list) #x轴命名\n",
    "plt.legend() # 颜色的含义\n",
    "plt.title('成绩表')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ca90a3ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x14c6c7cf820>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#气泡图\n",
    "x=[22,22,23,24,25,25,26,27,28,29,30,30,32,32,32,33,34,34,35,36,37,38,38,39,40,42,43,43,45,45,46,48,48,48,50,52,56,57,60,62]\n",
    "y=[176,186,164,177,183,194,180,179,190,170,168,192,173,178,181,186,177,187,180,195,179,186,187,190,182,184,176,178,164,185,181,175,173,172,172,169,168,182,188,174]\n",
    "z=[70, 220, 50, 170, 210, 270, 150, 150, 360, 150, 150, 200, 150, 170, 170, 160, 180, 460, 480, 480, 490, 300, 300, 250, 300, 250, 350, 180, 100, 250, 160, 170, 160, 180, 150, 150, 130, 180, 100, 160]\n",
    "plt.scatter(x,y,z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "7e07a197",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5777\n",
      "3044.9645161290323\n",
      "2594.3\n",
      "6121771.0\n",
      "2474.221291639048\n"
     ]
    }
   ],
   "source": [
    "# 综合处理\n",
    "snow_area=[83.1,350.7,5903.3,2716.2,4446.5,2975,4615.1,8543,137.1,5073,980.8,5603.9,829.8,3367.1,7166.3,9521.1,3931.4,4479.5,2077.3,2594.3,289.3,1260.9,4649.5,1816.5,3255,176.2,2548.7,1966.9,159.4,579.9,2297.1] \n",
    "total_output=[52.3,194.2,3321.9,1232.9,2492.3,2017.1,3601.6,5435.2,98.6,3360.6,656,3252.5,496.1,2029.9,4505.2,5777,2428.5,2805.2,1170.8,1420.6,149.2,806.2,2846.6,855.5,1567.7,99.8,1114.2,883.1,61.1,331.8,1474.81]\n",
    "per_hectare=[6296,5538,5627,4539,5605,6780,7804,6362,7190,6624,6689,5804,5978,6028,6287,6068,6177,6262,5636,5476,5157,6394,6122,4710,4816,5663,4371,4490,3832,5721,6420]\n",
    "area=['北京','天津','河北','山西','内蒙古','辽宁','吉林','黑龙江','上海','江苏','浙江','安徽','福建','江西','山东','河南','湖北 ','湖南','广东','广西','海南','重庆','四川','贵州','云南','西藏','陕西','甘肃','青海','宁夏','新疆']\n",
    "\n",
    "#最大值 \n",
    "snow_area_max = max(total_output) \n",
    "print(snow_area_max)\n",
    "#均值\n",
    "snow_area_mean=sum(snow_area)/len(snow_area)\n",
    "print(snow_area_mean)\n",
    "# 中位数\n",
    "def median(list):\n",
    "    List = sorted(list)\n",
    "    if len(List)%2 ==1:\n",
    "        return List[len(List)//2]\n",
    "    else:\n",
    "        return (List[len(List)//2]+List[len(List)//2-1])//2\n",
    "snow_area_median=median(snow_area)\n",
    "print(snow_area_median)\n",
    "# 标准差 \n",
    "import math\n",
    "def stdev(List):\n",
    "    mean =sum(List)//len(List)\n",
    "    Sum=0\n",
    "    for item in List:\n",
    "        Sum+=(item-mean)**2\n",
    "    Sum//=len(List)\n",
    "    print(Sum)\n",
    "    return math.sqrt(Sum)\n",
    "snow_area_stdev=stdev(snow_area)\n",
    "print(snow_area_stdev)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b3495dc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2474.221291639048"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d9e8d4f8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py8",
   "language": "python",
   "name": "py8"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
